Entice, Engage, Educate

Entice, Engage, Educate

An award-winning installation encouraging the public to learn about bats

Basic project info

UX UK Awards-2017-logo-winner

Novel IoT data streams offer a unique opportunity to engage the public by sharing new insights not available before. The question is—how to best serve such information to educate, engage and evoke public discussion? In this MSc project, I explored the use of tangible interfaces.

A novel multi-modal physical device is designed to present and enhance a newly available IoT dataset of bat activity from Queen Elizabeth Olympic Park in London. An in-the-wild evaluation indicates that such physical device can be successful in engaging the public even on a topic in which people may not already have an interest.

My role Lead Researcher & Designer
Platform Arduino, UpBoard (Intel), Interactive physical device, IoT, Processing
Industry Education, Public engagement
Period Jun 2017 – Sep 2017
Contract MSc Project (UCL, Human-Computer Interaction)

Awards

The project has been awarded:

  • 1st place in UX UK Awards 2017 (Best Student Project)
  • Ulf Aberg Award 2018 runner-up (Best postgraduate student projects in ergonomics/human factors)
  • UCL MSc HCI Project Prize 2016/2017
  • The highest rank distinction (exceptional performance)

It was also presented at the Leading London conference 2017, showcased at the Royal Institution of Great Britain, and featured in a number of UCL and Intel events.

UX UK Awards 2017 ceremony, Matej KaninskyPresenting the bat arcade machine at the Royal Institution of Great BritainNature Smart Cities Showcase 2017 - Queen Elizabeth Olympic Park, London

Background

Urbanisation negatively impacts wildlife by increasing pollution levels and by causing landscape fragmentation and habitat loss. There are growing movements to better monitor and understand wildlife in urban areas to foster and support effective conservation. Most recently, a novel wildlife data set has become available in Queen Elizabeth Olympic Park in London (QEOP) where the activity of bats is now being monitored across urban spaces. Echo Box—an IoT device developed by Intel and UCL scientists—is able to automatically recognise and categorise bat calls; fifteen Echo Boxes were deployed in QEOP in June 2017

Echobox enclosure, source: www.naturesmartcities.comEchobox inside, source: www.naturesmartcities.comEchobox deployment locations, source: www.naturesmartcities.com

The Challenge

  • 1 in 5 people in the UK dislike or hate bats
  • The dislike is primarily caused by a number of misconceptions that people have, knowledge gaps that surround these species, and aesthetics—as bats are perceived as “ugly”
  • Collectively, these make educational efforts in this area difficult as a large proportion are either apathetic towards or have a preconceived dislike of bats
  • Bats are, however, an essential biodiversity indicator species and they are also important pest controllers; they are legally protected since 1981

Could the new stream of bat data from QEOP be used to support bat conservation by raising the agenda to public view?

Goals

  • Inform and educate the public about bats
  • Remedy myths and misconceptions
  • Raise awareness about the benefits of bats
  • Raise awareness about the benefits of existing conservation efforts

My Role

This was an individual MSc project—I designed, programmed and developed the whole device, and ran an evaluation study. The project was supervised by Yvonne Rogers (UCL Interaction Centre) and Sarah Gallacher (Intel).

Target Audience

Teenagers to ~34 years-old, Living in a large city

People at this age range were found to be most prone to believing in myths about bats, knew the least about the benefits of bats, and largely did not know bats were protected in the UK. A subgroup of 18-24 year-olds was also found to be most afraid of bats (60% of 18-24 year-olds).

Process, methods & tools

Selecting the medium: Why not an app or a website?

Although many of urban IoT data streams are open and publicly available through APIs, apps or websites, engaging the public with the data is challenging.

Tangible User Interfaces (TUI) offer a number of benefits:

  • Learning
    It has been shown that TUIs support learning as they engage more human senses
  • Affordances
    TUIs offer rich and familiar social and physical affordances—familiar input/output mechanisms lower the barrier to entry and reduce the fear of embarrassment in public places
  • Playfulness
    TUIs are often perceived as playful and fun to use—this is extremely important for public-facing interfaces, especially when their aim is educational
  • Saliency in a public space
    Through their embodied nature, TUIs are easy to spot in public spaces—this is crucial to overcoming display and interaction blindness that many traditional public displays suffer from

Process & Methods

I followed the user-centred design (UCD) process with a focus on iterative design development. The proposed design intervention is intended to augment a public space, therefore, in addition to UCD, in-the-wild evaluation was conducted to ensure high ecological validity (i.e. realism) of the findings.

In this study, passive observation and contextual inquiry (in a form of intercept interviews) were conducted. To triangulate these qualitative methods, all user interactions with the design artefact were automatically logged and analysed quantitatively. These data complement the observation by providing accurate measures on how much time users spent with the device, which and how many sections they visited, or how they responded to embedded quizzes and surveys. A similar approach was successfully used in evaluations of museum installations.

Design Principles

I went through an extensive list of related literature on data stories and narrative visualisation, public displays and tangible interface to identify best practices, which I then turned into the following design principles:

  1. Provide unambiguous social and physical affordances
  2. Evoke intrinsically motivated learning
    • Make it a challenge
    • Spark curiosity
  3. Make it fun & playful
  4. Make it look attractive & novel
  5. Keep it informative & trustworthy
  6. Strive for consistency and coherence

Initial research

The project was started by exploring the problem space and the challenges which the QEOP bat data could address. Interviews with four subject matter experts from prospective target audiences were conducted and consequently, the focus of the MSc project was narrowed and the basic requirements were established. Finally, in an effort to learn more about the prospective field study location, passive observations were carried out in Timber Lodge Café.

    • 4 in-depth interviews with subject-matter experts
    • Extensive desk research (over 70 research papers and other resources)
    • Deployment location explorations

Deployment location exploration - identifying the best device placement

Initial content development

  • Bat IoT data exploration
  • Story development
  • Story units development
  • Exploration of different narrative flows

Initial content and story developmentBat IoT data explorationsThree story flows (based on the level of autonomy the user is given) = three experimental conditions

Device design explorations

  • Inspiration boards
  • Rapid Sketching

Ideation - physical data visualisationIdeation - public engagement deviceIdeation - interaction techniques

Low-fidelity role prototype

  • Paper prototyping
  • Pilot testing
  • Lab study with 3 users

Initial paper prototypeTesting the paper prototype with users

Med-fidelity implementation prototype

  • Implementation
  • Programming
  • Pilot testing
  • Lab study with 4 users

Wiring up the first implementation prototypeComponents needed for the implementation prototypeFirst implementation prototypeTesting the first implementation prototype with a userSecond implementation prototypeTesting the second version of the implementation prototype with a user

High-fidelity integration prototype

  • Content finalisation
  • Implementation finalisation
  • Ergonomics
  • 3D modelling
  • Device fabrication

Content finalisationFinalising the integration prototypeDevice model for ergonomics considerationsErgonomics considerationsErgonomics - calculationsDevice frame - calculations3D model explorationsFinalised 3D modelLaser cutting template exampleDevice manufacturingDevice manufacturingDevice manufacturing - frame finishedDevice manufacturing - progressDevice manufacturing - insideDevice manufacturing - look & feelDevice manufacturing - look & feelBat cut-out templateBat cut-outsDevice design considerationsDevice assembly - almost finished

Finished high-fidelity integration prototype

Finished high-fidelity prototypeFinished high-fidelity prototypeFinished high-fidelity prototype - insideFinished high-fidelity prototype - back

Evaluation: In-the-wild study

In short:

  • The device was deployed in Timber Lodge Café in QEOP for 3 days
  • 232 people used the device in 127 interactions
  • 158 sessions were logged and analysed
  • 28 intercept interviews were conducted
  • The device was in direct use for nearly half of the deployment time
  • Half of the sessions lasted 2:00+ minutes showing high engagement
  • Embedded survey shows that many people shifted their perception of bats

Results from the survey embedded into the device user journeyResults from the survey embedded into the device user journey

Quotes from participants

“You don’t realise that there would be that many animals in the park, especially when it’s kind of artificially constructed here, so yeah that was quite eye-opening actually,” (I045).

“We really learnt a lot about bats, hearing them and touching the models, then having the quizzes, it was just really excellent […] I actually didn’t like bats too much but now I quite like them,” (I023).

Solution

The bat arcade machine is a fully functional prototype that was deployed in various locations in London, UK.

How the device works

The device is designed to evoke intrinsic motivation to explore and learn more. It also motivates externally by offering a “little surprise” (pin badges) if the user finishes the experience. There are six main topics (story units), each of them engages different sensory modalities:

  1. Listen to bats in the Park
    Shows a bat sensor and lets people listen to what the sensor can hear
  2. See how bats move around the Park
    Engages people with the IoT data (QEOP map)
  3. Bust myths about bats
    Remedies the most common myths
  4. The benefits of bats you didn’t know about
    Shows why bats are important
  5. Meet the most common UK bat
    Lets people hear it and touch it
  6. Two reasons why bats are endangered in London
    Engages people with the conservation topic

Bat machine - finished implementation prototype

Project video

Have a look at the bat arcade machine in action!

Project poster

Bat machine, Matej Kaninsky - poster

Conclusions

This project’s results and the largely positive user feedback have shown that engagement and willingness to learn about topics in which people may not have an interest can be facilitated by using multi-modal and playful narratives embedded into physical devices. This differs substantially from the current UX trends in which websites and apps have become the industry standard and the benefits of physicality have been largely forgotten.

Project assessment

“The project is outstanding – so much effort and thought gone into all stages of the project. It is almost the making of a PhD. So many designs, evaluations and a good degree of conceptual and technical development. The write-up is also mature and all the steps make sense and are well put together. Not least, over 70 figures and over 70 references – all used appropriately is truly remarkable.”

MSc project examiner